Senior Cloud Platform & AI Search Engineer

CEIPAL’s recruitment platform helps hiring teams, staffing firms, and agencies manage sourcing, candidate engagement, and hiring workflows with speed, intelligence, and visibility.

• End-to-end hiring software for high-volume recruiting.
• Faster sourcing, submissions, and placements.
• Built to scale with growing staffing teams.
• Centralize talent across teams & locations.
• Support full-time, contract, and contingent hiring.
• Improve visibility, compliance, and hiring speed.
  
  

Department: Engineering / AI Platform

Experience Required: 7+ years

Education: Bachelor's degree in Computer Science, Software Engineering, or a related field

Employment Type: Full-time

Job Summary

We are seeking a Senior Cloud Platform & AI Search Engineer with extensive experience in cloud-native architecture, distributed systems, microservices, AI-driven search, and enterprise platform engineering. The ideal candidate will have hands-on experience designing scalable applications on AWS, integrating full-text and semantic search capabilities, developing NLP-powered solutions, and implementing secure, reliable production systems.

The successful candidate will work across cloud infrastructure, AI search, application architecture, observability, and security to improve platform performance, search relevance, and operational reliability.

Key Responsibilities

• Design and implement scalable cloud-native architectures using AWS, Kubernetes, Amazon EKS, and infrastructure-as-code tools such as Terraform.
• Develop and maintain distributed systems and microservices using event-driven architectures, RESTful APIs, Apache Kafka, RabbitMQ, and AWS SQS.
• Implement full-text search and semantic search capabilities using Elasticsearch, vector databases, embeddings, and AI-powered relevance-ranking techniques.
• Develop AI and machine learning integrations involving natural language processing (NLP), large language models (LLMs), document summarization, and intelligent data retrieval.
• Build and optimize data pipelines, ETL workflows, and database systems using SQL and NoSQL technologies, including PostgreSQL, MongoDB, DynamoDB, and Snowflake.
• Implement application security controls, including OAuth 2.0, JWT authentication, role-based access control (RBAC), secrets and key management, and vulnerability remediation.
• Establish monitoring, logging, and observability using tools such as Prometheus, Grafana, Datadog, and Grafana Loki.
• Design and maintain CI/CD pipelines, automated deployment strategies, infrastructure automation, and disaster recovery processes.
• Perform automated regression, API, integration, and performance testing using appropriate tools and frameworks.
• Collaborate with product managers, software engineers, security teams, and QA engineers to deliver secure and reliable enterprise applications.
  
  

Required Qualifications

• 7+ years of experience in software engineering, cloud architecture, platform engineering, or distributed systems.
• Strong hands-on experience with AWS services, Kubernetes, EKS, Docker, and Terraform.
• Experience designing microservices, service-oriented architectures (SOA), event-driven systems, and RESTful APIs.
  
  

About Us

Ceipal is an industry-leading provider of AI-driven talent acquisition and applicant tracking software (ATS). Founded in 2015, our mission is to connect people to the right jobs by delivering an accessible, 360-degree platform that automates and streamlines recruitment processes. Supporting over 100,000 recruiters worldwide, Ceipal's cutting-edge solutions-including AI-powered candidate matching, passive sourcing, and workforce management-empower staffing agencies and corporate enterprises to scale their operations, eliminate repetitive tasks, and hire top talent faster. Headquartered in Rochester, New York, with global operations, we are dedicated to innovating the future of human resources technology.